When you analyze a run chart, you’re looking for non-random patterns in the data—that is, evidence that performance has actually changed as a result of your PDSA cycles. But how can you tell if the variation you’re seeing is random or non-random? In this lesson, you’ll practice using four rules to help you “read” a run chart and determine whether your changes have led to improvement.
Estimated Time of Completion: 25 minutes
After completing this lesson, you will be able to:
1. Identify non-random patterns in data.
2. Analyze data using a run chart.
3. Determine whether sample run charts show performance improvement.
You must be a registered IHI.org user
to take this lesson.
You must achieve a minimum score of
% to successfully complete this lesson.